“Accurate and Reproducible Mobility Estimation Enables High-throughput Analysis of Organic Field-effect Transistors,” Department of Computer Science, Kent State University, November 2022
“Statistical Methods for Reproducible Mass Spectrometry-based Proteomic Research,” Department of Computer Science, Kent State University, February 2020
“Statistical Methods for Quantitative Mass Spectrometry-based Proteomics,” Department of Mathematical Sciences, Kent State University, March 2019
“Statistical Methods for Reproducible Quantitative Omics Experiments,” Quantitative Methods Core Seminar, University of Massachusetts Medical School, March 2019
“Statistical Methods for Quantitative Proteomics,” CIBI/OpenMS User Meeting, Berlin, Germany, September 2018
“Feature Selection for Relative Protein Quantification in Mass Spectrometry-based Proteomics,” Aebersold Lab, ETH Zurich, Switzerland, July 2018
“Extensions of MSstats Framework for Mass Spectrometry-based Proteomics,” Biognosys AG, Zurich, Switzerland, July 2018
“Statistical Characterization of Therapeutic Protein Modifications,” Genentech Inc., South San Francisco, CA, September 2016
“Statistical Methods in Quantitative Proteomics,” Targeted Proteomics International Symposium, Mumbai, India, December 2015
“Bayesian Alignment Model for LC-MS-based Omics,” Department of Bioinformatics and Computational Biology, MD Anderson Cancer Center, March 2014
“Bayesian Alignment Model for LC-MS-based Omics,” Neurological Research Institute, Baylor College of Medicine, February 2014
“Bayesian Alignment Model for LC-MS Data,” Center for Biomarker Discovery and Translation, Johns Hopkins University, March 2012
“Bayesian Alignment Model for LC-MS Data,” Virginia Tech Research Center — Arlington, November 2011
“Statistical Characterization of Quantitative Changes in Global Post-translational Modification Profiling Experiments,” Joint Statistical Meetings (JSM) (virtual), August, 2020
“Selection of Features with Consistent Profiles Improves Relative Protein Quantification in Mass Spectrometry Experiments,” Annual International Conference on Intelligent Systems for Molecular Biology (ISMB) (virtual), July, 2020
“A Statistical Framework for Relative Quantification of Post-translational Modifications in Global Proteomics Experiments,” Annual World Congress of the Human Proteome Organization (HUPO), Orlando, FL, September 2018
“gMODs: an Open Source Data Analysis Tool for Quantifying the Differential Site Occupancy of Therapeutic Protein Modifications,” Annual Conference of the US Human Proteome Organization (US HUPO), Boston, MA, March 2016
“Bayesian Alignment Model for LC-MS Data,” IEEE International Conference on Bioinformatics and Biomedicine, Atlanta, GA, November 2011